Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images
出版年份 2017 全文链接
标题
Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images
作者
关键词
Grapevine, Powdery mildew, Hyperspectral, Image analysis, Infection
出版物
Plant Methods
Volume 13, Issue 1, Pages -
出版商
Springer Nature
发表日期
2017-06-15
DOI
10.1186/s13007-017-0198-y
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Hyperspectral imaging reveals the effect of sugar beet quantitative trait loci on Cercospora leaf spot resistance
- (2017) Marlene Leucker et al. FUNCTIONAL PLANT BIOLOGY
- Hyperspectral phenotyping of the reaction of grapevine genotypes toPlasmopara viticola
- (2016) Erich-Christian Oerke et al. JOURNAL OF EXPERIMENTAL BOTANY
- Improvement of Lesion Phenotyping in Cercospora beticola–Sugar Beet Interaction by Hyperspectral Imaging
- (2016) Marlene Leucker et al. PHYTOPATHOLOGY
- Non-invasive Presymptomatic Detection of Cercospora beticola Infection and Identification of Early Metabolic Responses in Sugar Beet
- (2016) Nadja Arens et al. Frontiers in Plant Science
- Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
- (2015) Helge Aasen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging
- (2015) Sergej Bergsträsser et al. Plant Methods
- An Automated Field Phenotyping Pipeline for Application in Grapevine Research
- (2015) Anna Kicherer et al. SENSORS
- Impedance of the Grape Berry Cuticle as a Novel Phenotypic Trait to Estimate Resistance to Botrytis Cinerea
- (2015) Katja Herzog et al. SENSORS
- Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites
- (2014) Fabian E. Fassnacht et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Fusion trees for fast and accurate classification of hyperspectral data with ensembles of $$\gamma$$ γ -divergence-based RBF networks
- (2014) Uwe Knauer et al. NEURAL COMPUTING & APPLICATIONS
- Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review
- (2013) Laura M. Dale et al. APPLIED SPECTROSCOPY REVIEWS
- Hyperspectral Remote Sensing Image Classification Based on Rotation Forest
- (2013) Junshi Xia et al. IEEE Geoscience and Remote Sensing Letters
- Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
- (2013) Gustavo Camps-Valls et al. IEEE SIGNAL PROCESSING MAGAZINE
- Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
- (2013) Elfatih M. Abdel-Rahman et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Tree Species Classification in Boreal Forests With Hyperspectral Data
- (2012) Michele Dalponte et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
- (2012) Maoguo Gong et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A pixel-based color image segmentation using support vector machine and fuzzy -means
- (2012) Xiang-Yang Wang et al. NEURAL NETWORKS
- Development of spectral indices for detecting and identifying plant diseases
- (2012) A.-K. Mahlein et al. REMOTE SENSING OF ENVIRONMENT
- Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning
- (2011) Jun Li et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Leukocyte image segmentation by visual attention and extreme learning machine
- (2011) Chen Pan et al. NEURAL COMPUTING & APPLICATIONS
- Saliency-directed color image segmentation using modified particle swarm optimization
- (2011) Chi-Yu Lee et al. SIGNAL PROCESSING
- Color image segmentation using pixel wise support vector machine classification
- (2010) Xiang-Yang Wang et al. PATTERN RECOGNITION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now